Smart Systems & Machine Learning

Course contents

- Foundations of artificial intelligence (AI) and philosophical considerations
- Smart agent systems
- Problem definitions and search strategies
- Ontologies and knowledge representation
- Supervised, unsupervised and semi-supervised learning
- Reinforcement learning
- Multi-agent systems
- Natural Language Processing

Department

Bachelor's program Digital Business & Software Engineering